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Masegosa, Antonio D
219  Ergebnisse:
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1

Optimizing Road Traffic Surveillance: A Robust Hyper-Heuris..:

Rodríguez-Esparza, Erick ; Ramos-Soto, Oscar ; Masegosa, Antonio D....
IEEE Access.  12 (2024)  - p. 29503-29524 , 2024
Link: https://doi.org/10.1109/..
 
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2

A new Hyper-heuristic based on Adaptive Simulated Annealing..:

Rodríguez-Esparza, Erick ; Masegosa, Antonio D. ; Oliva, Diego.
Expert Systems with Applications.  252 (2024)  - p. 124197 , 2024
Link: https://doi.org/10.1016/..
 
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3

A Taxonomy of Signal Vehicle Coupled Control from a Mathema..:

, In: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC),
Ghosh, Arka ; Angarita-Zapata, Juan S. ; Masegosa, Antonio D.. - p. 5597-5602 , 2023
Link: https://doi.org/10.1109/..
 
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4

Modeling of shared mobility services - An approach in betwe..:

Narayanan, Santhanakrishnan ; Salanova Grau, Josep Maria ; Frederix, Rodric...
Journal of Intelligent Transportation Systems.  , 2023
Link: https://doi.org/10.1080/..
 
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5

A two-phase metaheuristic approach for the parcel locker lo..:

, In: 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS),
Rodriguez-Esparza, Erick ; Kampitakis, Emmanouil ; Masegosa, Antonio D.. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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6

Optimization and Machine Learning Applied to Last-Mile Logi..:

Giuffrida, Nadia ; Fajardo-Calderin, Jenny ; Masegosa, Antonio D....
Sustainability.  14 (2022)  9 - p. 5329 , 2022
Link: https://doi.org/10.3390/..
 
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7

A Taxonomy of Food Supply Chain Problems from a Computation..:

Angarita-Zapata, Juan S. ; Alonso-Vicario, Ainhoa ; Masegosa, Antonio D..
Sensors.  21 (2021)  20 - p. 6910 , 2021
Link: https://doi.org/10.3390/..
 
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8

Partial Evaluation and Efficient Discarding for the Maximal..:

Porras, Cynthia ; Fajardo, Jenny ; Rosete, Alejandro.
IEEE Access.  9 (2021)  - p. 20542-20556 , 2021
Link: https://doi.org/10.1109/..
 
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9

Cataloging and Assessing City-scale Mobility Data:

, In: Advances in Mobility-as-a-Service Systems; Advances in Intelligent Systems and Computing,
Ayfantopoulou, Georgia ; Burrieza Galán, Javier ; Masegosa, Antonio... - p. 1139-1148 , 2020
Link: https://doi.org/10.1007/..
 
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10

General-Purpose Automated Machine Learning for Transportati..:

, In: Information Processing and Management of Uncertainty in Knowledge-Based Systems; Communications in Computer and Information Science,
Angarita-Zapata, Juan S. ; Masegosa, Antonio D. ; Triguero, Isaac - p. 728-744 , 2020
Link: https://doi.org/10.1007/..
 
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11

Data-Driven Optimization for Transportation Logistics and S..:

Osaba, Eneko ; Sanchez Medina, Javier J. ; Vlahogianni, Eleni I....
IEEE Intelligent Transportation Systems Magazine.  12 (2020)  4 - p. 6-9 , 2020
Link: https://doi.org/10.1109/..
 
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12

Evaluating Automated Machine Learning on Supervised Regress..:

, In: Computational Intelligence in Emerging Technologies for Engineering Applications; Studies in Computational Intelligence,
Angarita-Zapata, Juan S. ; Masegosa, Antonio D. ; Triguero, Isaac - p. 187-204 , 2020
Link: https://doi.org/10.1007/..
 
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13

A graph CNN-LSTM neural network for short and long-term tra..:

Bogaerts, Toon ; Masegosa, Antonio D. ; Angarita-Zapata, Juan S...
Transportation Research Part C: Emerging Technologies.  112 (2020)  - p. 62-77 , 2020
Link: https://doi.org/10.1016/..
 
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14

Nature-inspired metaheuristics for optimizing information d..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Masegosa, Antonio D. ; Osaba, Eneko ; Angarita-Zapata, Juan S... - p. 1312-1320 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

Ensemble classification for imbalanced data based on featur..:

Lopez-Garcia, Pedro ; Masegosa, Antonio D. ; Osaba, Eneko..
Applied Intelligence.  49 (2019)  8 - p. 2807-2822 , 2019
Link: https://doi.org/10.1007/..
 
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